Biolome — NGS Bioinformatics Platform
NGS Bioinformatics Platform

Your data.
Our pipelines. Real answers.

From genome to transcriptome and beyond — Biolome turns raw sequencing data into publication-ready results, through proprietary pipelines, custom-built analyses, and expert consultations.

8+
UNIQUE PIPELINES
48h
AVG TURNAROUND
ORGANISMS
biolome_pipeline.py
# Biolome's RNA-Seq pipeline
import yourData
 
job = biolome.Pipeline(
  analysis="rna_seq",
  genome="GRCh38",
  outputs=["degs","figures","pathways"]
)
 
job.run("sample_R1.fastq.gz")
 
# 1,847 DEGs identified
# Figures exported to /results
>

Everything you need,
nothing you don't.

Proprietary pipelines for speed, custom analyses for depth, and expert consultations when the science gets complex.

Custom Analyses

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Tailored pipelines built for your specific study design. We scope, build, execute, and hand off — fully publication-ready.

Multi-omicCustom organismsGrant prep
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Expert Consultations

First session free

One-on-one sessions on experimental design, analysis strategy, or bioinformatics infrastructure — with Biolome bioinformaticians.

Study designInfrastructureResults review
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The full
sequencing toolkit.

Every pipeline is reproducible, documented, and built to deliver publication-ready outputs — whichever application fits your study.

Data Pre-processing
FASTQBAMTrimming & FilteringFormat Conversion
Click for input / output
Data Pre-processing
InputRaw FASTQ, BAM, or POD5 — any sequencing platform
OutputTrimmed & aligned reads (FASTQ/BAM) plus a fastp QC report
Click to flip back
NGS Summary Statistics
FASTQBAMFastQCMultiQC
Click for input / output
NGS Summary Statistics
InputFASTQ or BAM files, single or multi-sample
OutputAggregated MultiQC report, coverage stats & a stats.tsv
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RNA-Seq
FASTQBAMDiff. expressionPathway enrichment
Click for input / output
RNA-Seq
InputFASTQ or BAM — cDNA, dRNA, or Illumina RNA reads
OutputGene count matrix, DEG table, volcano & heatmap plots
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Metagenomics
FASTQTaxonomic profilingFunctional annotation
Click for input / output
Metagenomics
InputFASTQ reads — shotgun or amplicon, short or long-read
OutputTaxonomy report, diversity metrics, assembly contigs
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Native Modifications
POD5FAST5m6A5mC
Click for input / output
Native Modifications
InputPOD5/FAST5 or aligned BAM — ONT native reads
OutputPer-site m6A/5mC calls, modification summary, pileup track
Click to flip back
Methylation Profiling & Differential Methylation
FASTQBEDWGBS / RRBSDMR calling
Click for input / output
Methylation Profiling & Differential Methylation
InputFASTQ (WGBS/RRBS) or BED calls, grouped by cohort
OutputDMR list, methylation bedgraph, differential report
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Variant Calling
FASTQVCFSNP / IndelStructural variants
Click for input / output
Variant Calling
InputFASTQ or BAM — ONT, Illumina, or PacBio HiFi
OutputAnnotated VCF (SNPs/indels/SVs) plus a variant stats report
Click to flip back
Haplotype and Allele Phasing
VCFPhasingAllele-specific expression
Click for input / output
Haplotype and Allele Phasing
InputFASTQ or VCF — short or long-read, trio data optional
OutputPhased VCF, haplotype map, allele frequency table
Click to flip back

Good bioinformatics starts
with the right questions.

One-on-one sessions with Biolome bioinformaticians — on experimental design, analysis strategy, or bioinformatics infrastructure. Bring your data, your hypotheses, or your open questions.

Tailored to your project
No generic advice — we dig into your specific data and research question.
Book in under 2 minutes
Live calendar, no intake forms. Pick a time and show up with your questions.
First session is free
Always. No strings. If we can help you, we will — before you spend a cent.